EY CTO Blasts Mass AI Training as Microsoft & Google Push AI in Reviews

EY's Americas CTO challenges the push for standardized AI training even as Microsoft and Google embed AI into performance reviews, spotlighting a growing rift in enterprise AI strategy.

In a move that’s ruffling feathers across tech and consulting, the EY CTO for the Americas didn’t mince words calling widespread mass AI training “silly.” His take comes at a moment when giants like Microsoft and Google are not only scaling AI tools, but also baking them directly into employee reviews and performance tracking. That contrast? It’s jarring. The signal here isn’t just skepticism it’s a strategic counterpunch. With Microsoft AI performance reviews are rolling out and the Google AI playbook rapidly gaining traction, enterprise leaders are feeling the heat. But the EY CTO raises a deeper question. Is racing to train every employee really smart strategy, or just reactive noise? As more companies shape their enterprise AI strategy, this moment doesn’t read like a one-off comment. It’s a pressure point. One that CIOs, CTOs, and boards will need to navigate quickly, and with intention.

What makes this moment stand out is timing. Microsoft AI performance reviews may soon factor in how well employees use AI raising the stakes across teams. At the same time, Google is sharpening its internal AI training and developing a Google AI playbook, aiming to codify best practices. But the EY CTO isn’t buying the blanket approach. He says: slow down, get specific. His view? Not every role needs the same crash course. Focus AI where it actually drives value on high-leverage teams, not across the board. That mass AI training criticism counters the urge to scale indiscriminately and puts a spotlight on the rift growing between targeted integration and performative efforts in enterprise AI strategy.

For tech leaders eyeing enterprise AI strategy, this lands like a jolt. Broad mass AI training might check a box, but without focus, it’s noise. Low uptake, wasted budgets, and workforce fatigue follow. The smarter play? Build in layers start with pilot teams, make it role-based, and tie results to KPIs. Let adoption earn its keep. As Microsoft AI performance reviews loom and Google AI playbook models mature, the EY CTO’s stance gets clearer: this isn’t about doing more it’s about doing it right. CIOs and CTOs must sharpen their approach. Forget the flood. Pick your spots. Build value, not volume.